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Foundations of Search: A Perspective from Computer Science (2012) [pdf]

Grok: Searching X for "From:Elonmusk (Israel or Palestine or Hamas or Gaza)"

SIMD.info – Reference tool for C intrinsics of all major SIMD engines

The messy reality of SIMD (vector) functions

The messy reality of SIMD (vector) functions

Muvera: Making multi-vector retrieval as fast as single-vector search

VectorSmuggle: Covertly Exfiltrate Data in Embeddings

Catbench Vector Search Demo Has Postgres SQL Throughput, Latency Monitoring Now

A visual exploration of vector embeddings

Has anyone used google search for RAG in a script?

[R] Best way to combine multiple embeddings without just concatenating?

[D] Lessons learned while experimenting with scalable retrieval pipelines for large language models

Python Implementation of Google's MUVERA: Multi-Vector Retrieval via Fixed Dimensional Encodings

How RAG actually works — a toy example with real math

What I’ve learned building RAG applications for enterprises

Reuse non-prefix KV Cache and speed up RAG by 3X with LMCache.

[R] Ragged - : Leveraging Video Container Formats for Efficient Vector Database Distribution

Semantically search and ask your Gmail using local LLaMA

run-llama

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llama_index

LlamaIndex is the leading framework for building LLM-powered agents over your data.

pgvector

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pgvector

Open-source vector similarity search for Postgres

milvus-io

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milvus

Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search

lancedb

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lance

Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, and PyTorch with more integrations coming..

facebookresearch

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faiss

A library for efficient similarity search and clustering of dense vectors.

meilisearch

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meilisearch

A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.

chroma-core

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chroma

the AI-native open-source embedding database

qdrant

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qdrant

Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/